Malte Ladewig
maltela.bsky.social
Malte Ladewig
@maltela.bsky.social
Deforestation drivers, land use change, conservation, livelihoods and mineral extraction.

https://maladewig.github.io
Reposted by Malte Ladewig
Reposted by Malte Ladewig
A breakthrough data set, developed by Global Forest Watch, Land & Carbon Lab, and Google Deep Mind using advanced AI and satellite imagery, helps unpack why forests are disappearing — not just where — enabling smarter, place-based action to halt deforestation➡️ bit.ly/4jRfzGj
June 17, 2025 at 1:35 PM
My second PhD chapter is now published open access in Resources Policy!

While the first thesis chapter published last year was showing how artisanal mining causes substantial deforestation even in remote forest areas of the eastern DRC (doi.org/10.1038/s418...), … (1/3)
June 15, 2025 at 9:34 AM
Worrying new data released by the University of Maryland: Tropical primary forest loss in 2024 was the highest of the last two decades, increasing by 80% compared to 2023.
Most of it lost to fires due to record temperatures.

gfr.wri.org/latest-analy...
Fires Drove Record-breaking Tropical Forest Loss in 2024 | World Resources Institute Research
The Forest Pulse draws on the most recent data and analysis to reveal the latest trends in global forest loss and deforestation. This page is updated annually using annual tree cover loss data. Update...
gfr.wri.org
May 21, 2025 at 9:45 AM
Reposted by Malte Ladewig
In case you missed these: some great papers appeared in the last few days that address the relation between monetary wealth and environmental degradation/protection 🧵👇
May 10, 2025 at 10:05 AM
Excited to announce that I have defended my PhD thesis last week!
Many thanks to @angelsen.bsky.social for 3.5 years of great supervision and mentorship.
Also, thanks to @davidwuepper.bsky.social and Andreas Kontoleon for engaging and insightful discussions during the defense.
April 15, 2025 at 5:19 PM
Reposted by Malte Ladewig
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We are excited to share our new working paper:
arxiv.org/abs/2502.12323
If you use ML predictions (like remote-sensed data) as outcomes, the resulting regression coefficients can be biased by measurement error. With @megan-ayers.bsky.social @mdgordo.bsky.social @eliana-stone.bsky.social
Adversarial Debiasing for Unbiased Parameter Recovery
Advances in machine learning and the increasing availability of high-dimensional data have led to the proliferation of social science research that uses the predictions of machine learning models as p...
arxiv.org
March 17, 2025 at 7:30 PM
Reposted by Malte Ladewig
📣New IOB Analysis and Policy Brief:

The #M23 rebellion and three decades of prolonged conflict: what’s happening in #DRCongo, and how can the violence be stopped?

Read it here: medialibrary.uantwerpen.be/files/2137/4...

#DRC #RDC #Kivu #Congo
February 21, 2025 at 8:46 AM
Reposted by Malte Ladewig
Did you know? Over 100 parks across 16 African countries are co-managed between states and NGOs! These Collaborative Management Partnerships (CMPs) are ambitious. Our new @pnas.org paper maps CMPs and quantifies their impact on deforestation. A long🧵 doi.org/10.1073/pnas.2411348121
January 13, 2025 at 3:56 PM
Reposted by Malte Ladewig
"To halt socioenvironmental crises, scientists must step outside of our comfort zone. We learned to frame our research results in a wider context that included values and interests beyond science [...]." M. Mastrangelo & M. Camino, Science. www.science.org/doi/10.1126/...
Teaming up to save Argentine Chaco forests
www.science.org
January 10, 2025 at 6:47 AM